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Kuvera 8B V0.1.0 by Akhil-Theerthala

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Kuvera 8B V0.1.0 is an open-source language model by Akhil-Theerthala. Features: 8b LLM, VRAM: 32.7GB, Context: 40K, License: mit, LLM Explorer Score: 0.2.

Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-8b Dataset:akhil-theerthala/perso...   Doi:10.57967/hf/5708   En   Endpoints compatible   Finance   Instruct   Personal finance   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Akhil-Theerthala/Kuvera-8B-v0.1.0 

Kuvera 8B V0.1.0 Benchmarks

LLME Score: 0.19767
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Kuvera 8B V0.1.0 (Akhil-Theerthala/Kuvera-8B-v0.1.0)
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Kuvera 8B V0.1.0 Parameters and Internals

LLM NameKuvera 8B V0.1.0
Repository 🤗https://huggingface.co/Akhil-Theerthala/Kuvera-8B-v0.1.0 
Base Model(s)  Qwen3 8B   Qwen/Qwen3-8B
Model Size8b
Required VRAM32.7 GB
Updated2026-05-17
MaintainerAkhil-Theerthala
Model Typeqwen3
Model Files  5.0 GB: 1-of-7   4.8 GB: 2-of-7   4.8 GB: 3-of-7   5.0 GB: 4-of-7   4.8 GB: 5-of-7   4.8 GB: 6-of-7   3.5 GB: 7-of-7
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licensemit
Context Length40960
Model Max Length40960
Transformers Version4.51.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

Best Alternatives to Kuvera 8B V0.1.0

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...n3 8B 320K Context 10X Massive320K / 16.4 GB200
...r Of Horror Jan V1 256K Ctx 8B256K / 16.1 GB333
... BIG Jan Horror V1 256K Ctx 8B256K / 16.1 GB440
Qwen3 8B 256K Context 8X Grand256K / 16.4 GB950
...wen3 8B 192K Context 6X Larger192K / 16.4 GB550
DeepSeek R1 0528 Qwen3 8B128K / 16.4 GB2155441057
BehChat SFTv3 Ckpt3128K / 16.4 GB870
Marco DeepResearch 8B128K / 16.3 GB347
BehChat V2.1128K / 16.4 GB1770
DeepSeek R1 0528 Qwen3 8B128K / 16.4 GB85118
Note: green Score (e.g. "73.2") means that the model is better than Akhil-Theerthala/Kuvera-8B-v0.1.0.

Rank the Kuvera 8B V0.1.0 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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